Abstract: Oriented object detection has attained remarkable progress in addressing the challenges associated with rotating invariant feature extraction. However, most existing object detection most ...

No detail is too small for the design-minded, not even a home’s hardware. Hinges, doorknobs, and even shower curtain hooks can take a space from good enough to intentionally finished. Consider shower ...

Abstract: Nowadays, high-resolution remote sensing images provide rich data sources and deep learning models show powerful feature representation capability for remote sensing object detection.

TL;DR: We show how object detection models can be turned into multi-object tracking models with almost no overhead. We also introduce a pre-training scheme on detection that improves tracking without ...